Join us for a joint outdoor event with Self Racing Cars at the Thunderhill Raceway in Willows, CA. We're going to be running a courses for smaller autonomous cars (~1/10th scale), which can use cameras, GPS, LIDAR and other sensors to navigate the course. As with our monthly Oakland events, the track for 1/10th scale cars will have white lines and obstacles. Unlike our indoor events, GPS can be used. Course dimensions and positions will be posted closer to the event.
Power and wifi will be provided. We do have some tables and chairs and shade, but not enough for everyone, so if you do have a folding table, chairs and shade of some sort, please do bring that.
• Gates open at 9:00am for setup. Testing and training until 12:00
• 12:00 - 1:00pm: Lunch break
• 1:15 - 3:00pm: Competitive rounds
• 3:00 - 5:00pm: Hack, test, prepare for tomorrow
• Gates open at 9:00am
• 10:00am - 12:00: Competitive rounds
• 12:00 - 1:00pm: Lunch break
• 1:00 - 3:00: Hack and test
Here's the announcement for the overall event (http://selfracingcars.com/event):
Following the success of the inaugural event last year, Self Racing Cars returns with a new track day designed to push autonomous cars towards true race-ready shape. We're expecting more cars, higher speeds, and some very clever engineering. We will be running a testing and competition event at Thunderhill West on April 1-2, 2017
Testing and Demoing
Please apply to attend if you have any of the following things to test or demo:
• Autonomous vehicles
• Drivetrain innovation (electric or otherwise)
• Software and Algorithms
• Connected Cars (v2v or v2i)
Independent and hobbyist teams are especially welcome. Smaller vehicles and robots can be tested and demoed in the paddock.
We can help match you with a driver and vehicle if you are testing systems, especially sensors.
We will be running timing and scoring for best autonomous laps the full-sized 2.1 mile track. Any vehicle that can make the two mile lap is welcome to attempt. Awards will be given for top performers in each class, with competition classes (e.g. "full-sized vehicle", "gas-powered go-kart", "teleoperated", etc.) to be determined as the event unfolds. Comma.ai will be sponsoring a prize for "fastest full track by comma neo vehicle" -- details to follow.
Udacity will be sponsoring a prize for “fastest full track by an independent or small company team” and “fastest 1/10th scale lap” -- details to follow.
If you are interested in sponsoring a challenge, please contact us at [masked].
We are currently working on simple vehicle build based on a CIK competition go-kart so that there is a starting point for a future competition class. We are also working on a simple radio flags system. Both of these will be documented as they develop.
As with our last event, we will be sharing data collected with various sensors and systems. Developers building on your systems will be able to see what the output looks like in a real-world yet controlled situation.
• Renovo Motors (http://www.renovomotors.com/) (Vehicle Platform for Autonomous/Connected/Electric)
• Comma.ai (http://comma.ai/) (Autonomous Vehicles)
• Point One Navigation (http://pointonenav.com/) (Spatial Localization for Autonomous Cars)
• Righthook (http://righthook.io/) (Vehicle simulation and testing)
• Revl (https://revl.com/) (Action Camera)
• AutonomouStuff (http://www.autonomoustuff.com/) (Autonomous Hardware and Development Platform)
• Swift Navigation, Inc. (https://www.swiftnav.com/) (GPS for Autonomous Vehicles)
• PolySync (http://polysync.io/) (Autonomous Vehicle Software Platform)
• Xsens (http://xsens.com/) (IMU, AHRS, GNSS/INS)
• Udacity (https://www.udacity.com/) (Autonomous Vehicle Education)
• Compound Eye (http://www.compoundeye.com/) (Vision)
• NVIDIA (http://nvidia.com/) (Self-Driving Car Platforms)
• Velodyne LIDAR (http://velodynelidar.com/) (Sensing)
• CivilMaps (https://www.civilmaps.com/) (Cognition and Autonomous Mapping)
• "Right Turn Clyde (https://twitter.com/chr1sa/status/718578986440220672)" (Autonomous GoKart)
• Vector AI (http://vectorai.io/) (Deep Learning Intelligence Vehicle)
• Sanborn (http://www.sanborn.com/) (HD Maps for Autonomous Driving)